Diffusion of innovations

About: Diffusion of innovations is a research topic. Over the lifetime, 2139 publications have been published within this topic receiving 191397 citations. The topic is also known as: diffusion of innovation & diffusion of innovations theory.

The impact of network characteristics on the diffusion of innovations

Abstract: This paper studies the influence of network topology on the speed and reach of new product diffusion. While previous research has focused on comparing network types, this paper explores explicitly the relationship between topology and measurements of diffusion effectiveness. We study simultaneously the effect of three network metrics: the average degree, the relative degree of social hubs (i.e., the ratio of the average degree of highly-connected individuals to the average degree of the entire population), and the clustering coefficient. A novel network-generation procedure based on random graphs with a planted partition is used to generate 160 networks with a wide range of values for these topological metrics. Using an agent-based model, we simulate diffusion on these networks and check the dependence of the net present value (NPV) of the number of adopters over time on the network metrics. We find that the average degree and the relative degree of social hubs have a positive influence on diffusion. This result emphasizes the importance of high network connectivity and strong hubs. The clustering coefficient has a negative impact on diffusion, a finding that contributes to the ongoing controversy on the benefits and disadvantages of transitivity. These results hold for both monopolistic and duopolistic markets, and were also tested on a sample of 12 real networks.

Disentangling Twitter’s Adoption and Use (Dis)Continuance: A Theoretical and Empirical Amalgamation of Uses and Gratifications and Diffusion of Innovations

Abstract: Drawing on Uses and Gratifications (UG) Theory and Diffusion of Innovation Theory (DIT), this study aimed to augment an exploration of individual user needs based on UG constructs with an analysis of the material characteristics of the innovation based on DIT constructs to provide a comprehensive explanation of people‘s motivations underlying various Twitter usage levels and frequencies. Whereas previous literature on Social Network Sites (SNS) have explored individuals‘ motivations underlying initial adoption, the equally interesting and relevant question of use (dis-) continuance has so far been largely overlooked. To fill this void in the literature, this study compares active users that have continued to use Twitter and inactive users that initially adopted, yet discontinued usage of Twitter. This study provides insights into different usage levels and frequencies through an investigation of 1) users‘ perceptions of the medium, 2) users‘ expected outcomes associated with the medium‘s use, and 3) the role and effect of mobile access. An analysis of 130 surveys with Partial Least Squares (PLS) and R 2 partitioning revealed that an understanding of adoption and use (dis-) continuance of Twitter requires us to account for both user-related motivations (UG) and perceived characteristics of the medium (DIT), as combining UG and DIT increased explanatory power (R 2 ) for the overall sample. Furthermore, our findings showed that inactive users‘ initial adoption and subsequent discontinuance was solely impacted by user-related needs, (i.e. UG constructs), whereas active users‘ continued use was largely motivated by technology characteristics, (i.e. DIT constructs). Finally, our study revealed significant differences between active and inactive users in terms of the devices and platform used for accessing Twitter, with active users reporting a significantly higher use of mobile devices. Based on these findings, we discuss contributions and implications for future research and practice.

Do External Knowledge Spillovers Induce Firms'Innovations? Evidence from Slovenia

Abstract: According to new growth theory, technological progress is endogenous and driven by an intentional investment of resources by profit-seeking firms. Still, innovation activities in firms depend heavily on external sources (Fagerberg, 2005). For most countries foreign sources of technology are of dominant importance for productivity growth (Eaton and Kortum, 1999; Keller, 2002). Therefore, economic analysis of innovation recognizes international knowledge flows (through FDI, trade, licensing and international technological collaborations) as important determinants of the development and diffusion of innovations. Here, the notion of technology and knowledge spillovers is central. It is based on theories of endogenous technical change of the early 1990s (Romer, 1990; Grossman and Helpman, 1991; Aghion and Howitt, 1998), claiming that the return to technological investments is partly private and partly public (Keller, 2004). Because of the non-rival character of technology, an innovation that is produced by one firm may also be used by another firm, without incurring very much additional cost (Smolny, 2000). These are technology or knowledge spillovers.

Gaining momentum: managing the diffusion of innovations

Abstract: From Models to the Management of Diffusion Managing the Diffusion Process: Developing Robust Product Concepts Understanding Pre-Diffusion Processes Achieving Network and Market Acceptance Launch Strategies for New Products Commercializing New Technologies Factors Influencing Adoption of Innovations Forecasting for Diffusion Sector-Specific Dynamics: Diffusion of Innovations in Health Care Diffusion of Telecommunications Technologies Diffusion of Environmental Products and Services Key Lessons for Practice and a Management Research Agenda.

The diffusion of innovations within a UKCI context: an explanatory framework

Abstract: The UK Construction Industry has been criticized for being slow to change and adopt innovations. The idiosyncrasies of participants, their roles in a social system and the contextual differences between sections of the UK Construction Industry are viewed as being paramount to explaining innovation diffusion within this context. Three innovation diffusion theories from outside construction management literature are introduced, Cohesion, Structural Equivalence and Thresholds. The relevance of each theory, in relation to the UK Construction Industry, is critically reviewed using literature and empirical data. Analysis of the data results in an explanatory framework being proposed. The framework introduces a Personal Awareness Threshold concept, highlights the dominant role of Cohesion through the main stages of diffusion, together with the use of Structural Equivalence during the later stages of diffusion and the importance of Adoption Threshold levels.